{"id":"https://openalex.org/W7166804317","doi":"https://doi.org/10.18653/v1/2026.acl-long.1480","title":"EvoSpark: Endogenous Interactive Agent Societies for Unified Long-Horizon Narrative Evolution","display_name":"EvoSpark: Endogenous Interactive Agent Societies for Unified Long-Horizon Narrative Evolution","publication_year":2026,"publication_date":"2026-01-01","ids":{"openalex":"https://openalex.org/W7166804317","doi":"https://doi.org/10.18653/v1/2026.acl-long.1480"},"language":null,"primary_location":{"id":"doi:10.18653/v1/2026.acl-long.1480","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/2026.acl-long.1480","pdf_url":"https://aclanthology.org/2026.acl-long.1480.pdf","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://aclanthology.org/2026.acl-long.1480.pdf","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5139786965","display_name":"Shiyu He","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Shiyu He","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5016863397","display_name":"Minchi Kuang","orcid":"https://orcid.org/0000-0002-8082-539X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Minchi Kuang","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5133660683","display_name":"Mengxian Wang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Mengxian Wang","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5139787716","display_name":"Bin Hu","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Bin Hu","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5029306632","display_name":"Tingxiang Gu","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Tingxiang Gu","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.79388765,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"32088","last_page":"32107"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11574","display_name":"Artificial Intelligence in Games","score":0.5153999924659729,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11574","display_name":"Artificial Intelligence in Games","score":0.5153999924659729,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12090","display_name":"Language and cultural evolution","score":0.20749999582767487,"subfield":{"id":"https://openalex.org/subfields/3316","display_name":"Cultural Studies"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T10456","display_name":"Multi-Agent Systems and Negotiation","score":0.03440000116825104,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/narrative","display_name":"Narrative","score":0.6388000249862671},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.3325999975204468},{"id":"https://openalex.org/keywords/natural","display_name":"Natural (archaeology)","score":0.3188000023365021},{"id":"https://openalex.org/keywords/variety","display_name":"Variety (cybernetics)","score":0.3043000102043152},{"id":"https://openalex.org/keywords/action","display_name":"Action (physics)","score":0.2806999981403351}],"concepts":[{"id":"https://openalex.org/C199033989","wikidata":"https://www.wikidata.org/wiki/Q1318295","display_name":"Narrative","level":2,"score":0.6388000249862671},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.5537999868392944},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.3781000077724457},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.36719998717308044},{"id":"https://openalex.org/C188147891","wikidata":"https://www.wikidata.org/wiki/Q147638","display_name":"Cognitive science","level":1,"score":0.3596999943256378},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.3325999975204468},{"id":"https://openalex.org/C2776608160","wikidata":"https://www.wikidata.org/wiki/Q4785462","display_name":"Natural (archaeology)","level":2,"score":0.3188000023365021},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.31150001287460327},{"id":"https://openalex.org/C136197465","wikidata":"https://www.wikidata.org/wiki/Q1729295","display_name":"Variety (cybernetics)","level":2,"score":0.3043000102043152},{"id":"https://openalex.org/C2780791683","wikidata":"https://www.wikidata.org/wiki/Q846785","display_name":"Action (physics)","level":2,"score":0.2806999981403351},{"id":"https://openalex.org/C168167062","wikidata":"https://www.wikidata.org/wiki/Q1117970","display_name":"Component (thermodynamics)","level":2,"score":0.2761000096797943},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.25589999556541443},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.2540000081062317}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.18653/v1/2026.acl-long.1480","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/2026.acl-long.1480","pdf_url":"https://aclanthology.org/2026.acl-long.1480.pdf","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.18653/v1/2026.acl-long.1480","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/2026.acl-long.1480","pdf_url":"https://aclanthology.org/2026.acl-long.1480.pdf","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320322392","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W7166804317.pdf","grobid_xml":"https://content.openalex.org/works/W7166804317.grobid-xml"},"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Realizing":[0],"endogenous":[1,60],"narrative":[2,68,97,103,152],"evolution":[3],"in":[4],"LLM-based":[5],"multi-agent":[6],"systems":[7],"is":[8,100],"hindered":[9],"by":[10],"the":[11,40,66,96,101,145],"inherent":[12],"stochasticity":[13],"of":[14,148],"generative":[15],"emergence.In":[16],"particular,":[17],"long-horizon":[18,57],"simulations":[19],"suffer":[20],"from":[21,39],"social":[22],"memory":[23,69],"stacking,":[24],"where":[25,35],"conflicting":[26],"relational":[27],"states":[28],"accumulate":[29],"without":[30],"resolution,":[31],"and":[32,150],"narrative-spatial":[33],"dissonance,":[34],"spatial":[36],"logic":[37],"detaches":[38],"evolving":[41,132],"plot.To":[42],"bridge":[43],"this":[44],"gap,":[45],"we":[46],"propose":[47],"EVOSPARK,":[48],"a":[49,71,85,122,126],"framework":[50],"specifically":[51],"designed":[52],"to":[53,81,113],"sustain":[54],"logically":[55],"coherent":[56,151],"narratives":[58],"within":[59],"interactive":[61],"agent":[62],"societies.To":[63],"ensure":[64],"consistency,":[65],"stratified":[67],"employs":[70],"role":[72],"socio-evolutionary":[73],"base":[74],"as":[75],"living":[76],"cognition,":[77],"dynamically":[78],"metabolizing":[79],"experiences":[80],"resolve":[82],"historical":[83],"conflicts.Complementarily,":[84],"Generative":[86],"Mise-en-Sc\u00e8ne":[87],"mechanism":[88],"enforces":[89],"role-location-plot":[90],"alignment,":[91],"synchronizing":[92],"character":[93],"presence":[94],"with":[95],"flow.Underpinning":[98],"these":[99],"unified":[102],"operation":[104],"engine,":[105],"which":[106],"integrates":[107],"an":[108,130],"Emergent":[109],"Character":[110],"Grounding":[111],"Protocol":[112],"transform":[114],"stochastic":[115],"sparking":[116],"into":[117,129],"persistent":[118],"characters.This":[119],"engine":[120],"establishes":[121],"substrate":[123],"that":[124,136],"expands":[125],"minimal":[127],"premise":[128],"open-ended,":[131],"story":[133],"world.Experiments":[134],"demonstrate":[135],"EVOSPARK":[137],"significantly":[138],"outperforms":[139],"baselines":[140],"across":[141],"diverse":[142],"paradigms,":[143],"enabling":[144],"sustained":[146],"generation":[147],"expressive":[149],"experiences.":[153]},"counts_by_year":[],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2026-07-02T00:00:00"}
